Engineering Innovations for Precision Medicine

Precision medicine aims to optimize therapeutic effectiveness by tailoring interventions to each individual, based on measurable indicators. Advances in sensing and analytic techniques provide rich new opportunities to extract biomarkers and use them for prognostic modeling. This joint collection between the Journal of NeuroEngineering and Rehabilitation (JNER) and BioMedical Engineering Online (BMEO) will spotlight biomedical engineering trends that will support the new wave of precision medicine applications.

Topics may include:

-New sensor technologies and/or artificial intelligence methods to extract biomarkers (including molecular, electrophysiological, kinematic, or other data modalities)

-Predictive modeling focused on response to interventions and/or patient stratification

-Interventional studies investigating the effectiveness of precision medicine approaches supported by novel sensors or predictive models

Articles with a focus on rehabilitation or neurological issues will be published in JNER. Articles focused on other areas of application (e.g. cardiology, cancer, mental health) will be published in BMEO.

Contributing authors are responsible for submitting their manuscripts to the appropriate journal.

All submissions in this collection undergo the journal’s standard peer review process. Similarly, all manuscripts authored by a Guest Editor(s) will be handled by the Editor-in-Chief. As an open access publication, participating journals levy an article processing fee (BioMedical Engineering OnLine, Journal of NeuroEngineering and Rehabilitation). We recognize that many key stakeholders may not have access to such resources and are committed to supporting participation in this issue wherever resources are a barrier. For more information about what support may be available, please visit OA funding and support, or email [email protected] or the Editor-in-Chief.